1984
DOI: 10.1016/0004-6981(84)90043-x
|View full text |Cite
|
Sign up to set email alerts
|

The effective variance weighting for least squares calculations applied to the mass balance receptor model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
175
0
5

Year Published

2000
2000
2014
2014

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 352 publications
(180 citation statements)
references
References 18 publications
0
175
0
5
Order By: Relevance
“…Chemical mass balance is also a widely used receptor model for cases in which the number and profiles of sources are available (Watson et al, 1984;Chen et al, 2012). Similar to PMF, the CMB can be described as…”
Section: Receptor Modelsmentioning
confidence: 99%
“…Chemical mass balance is also a widely used receptor model for cases in which the number and profiles of sources are available (Watson et al, 1984;Chen et al, 2012). Similar to PMF, the CMB can be described as…”
Section: Receptor Modelsmentioning
confidence: 99%
“…The chemical mass balance (CMB) receptor model was used to apportion PM and its chemical constituents to their sources (Watson et al 1984). The CMB consists of a set of linear equations which express the ambient concentrations of chemical species as the sum of the products of the source contributions (lg/m 3 ) and the source composition profiles.…”
Section: Source Apportionment Modelingmentioning
confidence: 99%
“…The current CMB software (EPA version 8.2 http://www.epa.gov/scram001/receptor_cmb. htm) applies the effective variance least-squares solution developed and tested by Watson et al (1984) to solve these equations.…”
Section: Source Apportionment Modelingmentioning
confidence: 99%
“…The source contribution and standard error from the apportionment are presented in Tables 4 (PM 2.5 ) and 5 (total carbon) for three samples collected at the L site and four at the U site. The calculation of standard error in CMB applications has been described in detail previously 13 and will not be discussed here. The CMB showed that diesel emissions were the predominant source of PM 2.5 in the mine, accounting for 78 -98% of the reconstructed mass and 92-98% of total carbon.…”
Section: Final Apportionment Resultsmentioning
confidence: 99%
“…5,13 The CMB quantified contributions from chemically distinct source types rather than contributions from individual emitters. Sources with similar chemical and physical properties could not be distinguished from each other by the CMB.…”
Section: Data Analysis Methodsmentioning
confidence: 99%